I develop methods for digital data, focused on developing societies.
My work has been featured by NPR and the World Bank.

Curriculum Vitae
dan[@]bjorkegren[.]com Office: Robinson Hall 303D Office Hours
Network Effects
Review of Economic Studies (2019) Slides | Supplemental Appendix
RAND Journal of Economics (2022) Slides | Supplemental Appendix
Journal of Development Economics (2022)
Harvard Business Review (2021), website
Machine Learning
Revised and resubmitted, Econometrica Video (30m) | How do you say algorithm in Kiswahili?
Submitted. Presented at ACM EAAMO (2021) and NeurIPS Workshop on Machine Learning for the Developing World (2019)
International Conference on Machine Learning (ICML) (2020)
Workshop paper presented at NeurIPS Joint Workshop on AI for Social Good (2019). Best Paper Award
Workshop paper presented at NeurIPS Joint Workshop on AI for Social Good (2019). Best Paper Award
Digital Credit
World Bank Economic Review (2020) Original Proposal (posted 2010)
Media (2015): NPR Morning Edition, The World Bank (syndicated to World Economic Forum), New Scientist, Radio New Zealand
Media (2015): NPR Morning Edition, The World Bank (syndicated to World Economic Forum), New Scientist, Radio New Zealand
American Economic Association Papers and Proceedings (2018)
Submitted Pre-Analysis Plan
Nonparametric Causal Estimators for Multivariate Missing Data: An Application to Estimate Treatment Effects from Digital Trace Data
Big Data for Development
ACM Conference on Computing and Sustainable Societies (COMPASS) (2021) Blog Post
International Conference on Information and Communication Technologies and Development (ICTD) (2020)
In Progress
Welfare-Sensitive Machine Learning
Efficiency of Informal Transit Networks
Other Papers
Products